Dr. Ebrahimi's scholarly interest revolves around the exploration of the plausibility of deriving kinetic insights from statistical attributes. This intellectual pursuit relies heavily on discerning correlations between patterns and spatial arrangements of pathological biomarkers, and the dynamic kinetics of the underlying system. The primary objective of Dr. Ebrahimi's research is to develop sophisticated methodologies that shed light on the intricate dynamics of physiological microenvironments, particularly with regard to unraveling the complexities associated with cancer. This entails the identification and analysis of phenotypes, exploring their interconnections and interactions, and scrutinizing potential emergent behaviors that may arise from these intricate interplays.
Opportunities exist for students keen on spatiotemporal models for dynamic biological systems.
University of Miami
Residency - Medical Physics
2018
Harvard School of Medicine, MGH
Postdoc - Medical Imaging
2016
Mayo Clinic
Postdoc - Medical Imaging
2014
University of Michigan
PhD - Biomedical Engineering
2008
University of Michigan
MS - Biomedical Engineering
2004
Sharif University of Technology
MS - Physics
2001
University of Tehran
BS - Physics
1996
Optimization of Seleno-chitosan-phytic acid nanocomplex for efficient removal of patulin from apple juice.
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PMID: 38301556
Patterns of cortical oxygenation may predict the response to stenting in subjects with renal artery stenosis: A radiomics-based model.
Patterns of cortical oxygenation may predict the response to stenting in subjects with renal artery stenosis: A radiomics-based model. J Cardiovasc Magn Reson. 2024 Jan 11; 26(1):100993.
PMID: 38218433
In Reply to Ebner et al.
In Reply to Ebner et al. Int J Radiat Oncol Biol Phys. 2023 Dec 01; 117(5):1298.
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Gelling and rheological properties of a polysaccharide extracted from Ocimum album L. seed.
Gelling and rheological properties of a polysaccharide extracted from Ocimum album L. seed. Int J Biol Macromol. 2023 Aug 15; 246:125603.
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ChatGPT: Can a Natural Language Processing Tool Be Trusted for Radiation Oncology Use?
ChatGPT: Can a Natural Language Processing Tool Be Trusted for Radiation Oncology Use? Int J Radiat Oncol Biol Phys. 2023 Aug 01; 116(5):977-983.
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Diverse tsunamigenesis triggered by the Hunga Tonga-Hunga Ha'apai eruption.
Diverse tsunamigenesis triggered by the Hunga Tonga-Hunga Ha'apai eruption. Nature. 2022 09; 609(7928):728-733.
PMID: 35940206
Probiotic supplementation improves clinical outcomes and quality of life indicators in patients with plaque psoriasis: A randomized double-blind clinical trial.
Probiotic supplementation improves clinical outcomes and quality of life indicators in patients with plaque psoriasis: A randomized double-blind clinical trial. Clin Nutr ESPEN. 2021 12; 46:33-39.
PMID: 34857215
Editorial for "Quantitative Magnetization Transfer Detects Renal Fibrosis in Murine Kidneys With Renal Artery Stenosis".
Editorial for "Quantitative Magnetization Transfer Detects Renal Fibrosis in Murine Kidneys With Renal Artery Stenosis". J Magn Reson Imaging. 2021 03; 53(3):894-895.
PMID: 33029838
The Metabolic Syndrome Does Not Affect Development of Collateral Circulation in the Poststenotic Swine Kidney.
The Metabolic Syndrome Does Not Affect Development of Collateral Circulation in the Poststenotic Swine Kidney. Am J Hypertens. 2018 11 13; 31(12):1307-1316.
PMID: 30107490
Renal Adiposity Confounds Quantitative Assessment of Markers of Renal Diffusion With MRI: A Proposed Correction Method.
Renal Adiposity Confounds Quantitative Assessment of Markers of Renal Diffusion With MRI: A Proposed Correction Method. Invest Radiol. 2017 11; 52(11):672-679.
PMID: 28562413